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The water encyclopedia hydrologic data and Internet resources
The water encyclopedia hydrologic data and Internet resources
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The water encyclopedia hydrologic data and Internet resources

Pedro Fierro; Evan K Nyer

Boca Raton CRC/Taylor & Francis c2007

Localização: IGC - Instituto de Geociências    (r551.4803 W324 3.ed. )(Acessar)

2
The Water Encyclopedia: Hydrologic Data and Internet Resources
The Water Encyclopedia: Hydrologic Data and Internet Resources
Material Type:
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The Water Encyclopedia: Hydrologic Data and Internet Resources

Fierro, Jr ; Nyer, Evan K

Milton: Taylor & Francis Group 2007

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3
Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition
Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition
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Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

Wang, Wen-chuan ; Chau, Kwok-wing ; Qiu, Lin ; Chen, Yang-bo

Environmental research, 2015-05, Vol.139, p.46-54 [Periódico revisado por pares]

Netherlands: Elsevier Inc

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4
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
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Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

Nourani, Vahid ; Hosseini Baghanam, Aida ; Adamowski, Jan ; Kisi, Ozgur

Journal of hydrology (Amsterdam), 2014-06, Vol.514, p.358-377 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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5
A comprehensive review of deep learning applications in hydrology and water resources
A comprehensive review of deep learning applications in hydrology and water resources
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A comprehensive review of deep learning applications in hydrology and water resources

Sit, Muhammed ; Demiray, Bekir Z ; Xiang, Zhongrun ; Ewing, Gregory J ; Sermet, Yusuf ; Demir, Ibrahim

Water science and technology, 2020-12, Vol.82 (12), p.2635-2670 [Periódico revisado por pares]

England: IWA Publishing

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6
Simulation-Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation
Simulation-Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation
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Simulation-Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation

Rani, Deepti ; Moreira, Maria Madalena

Water resources management, 2010-04, Vol.24 (6), p.1107-1138 [Periódico revisado por pares]

Dordrecht: Dordrecht : Springer Netherlands

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7
Performance assessment of artificial neural networks and support vector regression models for stream flow predictions
Performance assessment of artificial neural networks and support vector regression models for stream flow predictions
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Performance assessment of artificial neural networks and support vector regression models for stream flow predictions

Ateeq-ur-Rauf ; Ghumman, Abdul Razzaq ; Ahmad, Sajjad ; Hashmi, Hashim Nisar

Environmental monitoring and assessment, 2018-12, Vol.190 (12), p.704-20, Article 704 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Combination of Multiple Data-Driven Models for Long-Term Monthly Runoff Predictions Based on Bayesian Model Averaging
Combination of Multiple Data-Driven Models for Long-Term Monthly Runoff Predictions Based on Bayesian Model Averaging
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Combination of Multiple Data-Driven Models for Long-Term Monthly Runoff Predictions Based on Bayesian Model Averaging

Huang, Huaping ; Liang, Zhongmin ; Li, Binquan ; Wang, Dong ; Hu, Yiming ; Li, Yujie

Water resources management, 2019-07, Vol.33 (9), p.3321-3338 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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9
Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods
Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods
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Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods

Anaraki, Mahdi Valikhan ; Farzin, Saeed ; Mousavi, Sayed-Farhad ; Karami, Hojat

Water resources management, 2021, Vol.35 (1), p.199-223 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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10
Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States
Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States
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Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States

Parisouj, Peiman ; Mohebzadeh, Hamid ; Lee, Taesam

Water resources management, 2020-10, Vol.34 (13), p.4113-4131 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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Deste Autor:

  1. Nyer, E
  2. Fierro, P

Neste Assunto:

  1. Science & Technology
  2. Water Resources
  3. Physical Sciences
  4. Hydrology
  5. Technology

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